ارزیابی حاصل‌خیزی اراضی برای کشت ذرت با استفاده از GIS، منطق فازی و ANP (مطالعه موردی: چهار حوضه استان گلستان)

 Aama Azghad, A., Khorassani, R., Mokarram, M., and Moezi, A. 2010. Soil fertility evaluation based on soil K, P and organic matter factors for wheat by using fuzzy logic-AHP and GIS techniques. J. Water Soil. 24: 5. 973-984. (In Persian)

1. Ayoubi, M., Sokouti, R., and Malakouti, M.J. 2016. Study and prediction of the spatial variation of soil organic matter, phosphorus and potassium, case study: north part of Urmia plain. J. Sci. Technol. Agric. Natur. Resour. Water Soil Sci. 20: 76. 177-187. (In Persian)
2. Bagherzadeh Chahojoyi, A., and Gholizadeh Noghabi, A. 2015. The zoning of soil fertility status based on the content of absorbable nutrients (macros and micro-nutrients) for sugar beet cultivation in Freiman plain using model FAPH and GIS. The First National Conference on Novel Finding in Biosciences and Agriculture. Zabol University, Tehran, 21 May. (In Persian)
3. Bijanzadeh, E., and Mokarram, M. 2017. Assessment the soil fertility classes for common bean (Phaseolus Vulgaris L.) production using fuzzy-analytic hierarchy process (AHP) method. Austr. J. Crop Sci. 11: 4. 464-473.
4. Braimoh, A.K., Vlek, P.G., and Stein, A. 2004. Land evaluation for maize based on fuzzy set and interpolation. Environ. Manag. 33: 226-238.
5. Dobermann, A., and Oberthur, T. 1997. Fuzzy mapping of soil fertility- a case study on irrigated riceland in the Philippines. Geoderma. 77: 317-339.
6. Elaalem, M. 2012. Land suitability evaluation for sorghum based on Boolean and fuzzy-multi-criteria decision analysis methods. Int. J. Environ. Sci. Develop. 3: 4. 357-361.
7. Garcia-Melon, M., Onate J.F., Aznar-Bellver, J., Aragones-Beltran, P., and Poveda-Bautista, R. 2008. Farmland appraisal based on the analytic network Process. J. Glob. Optim. 42: 143-155.
8. Ghibi, M.N., Asadi, F., and Tehrani, M.M. 2014. Guidance integrated management soil fertility and maize nutrient. Soil and Water Research Institute, Iran. 55 p. (In Persian)
9. Hailu, H., Mamo, T., Keskinen, R., Erik Karltun, E., Gebrekidan, H., and Bekele, T. 2015. Soil fertility status and wheat nutrient content in vertisol cropping systems of central highlands of Ethiopia. Agric. Food Secur. 4: 19. 1-10.
10. Hamzeh, S., Mokarram, M., and Alavipanah, S.K. 2014. Combination of fuzzy and AHP methods to assess land suitability for barley: case study of semi-arid lands in the southwest of Iran. Desert. 19: 2. 173-181.
11. Information and Communication Technology Center. 2016. Agricultural statistics, crop year 2014-2015, volume 1: crops. assistance of planning and economic. Ministry of Agriculture- Jahad, Iran. 174 p. (In Persian)
12. Kamkar, B., Safahani Langroudi, A.R., and Mohammadi, R. 2011. The use of nutrients in crop plants. Jihad Daneshgahi of Mashhad. 500 p. (Translated in Persian)
13. Kazemi Poshtmasari, H., Tahmasebi Sarvestani, Z., Kamkar, B., Shataei, Sh., and Sadeghi, S. 2012. Agroecological zoning of agricultural lands in Golestan province for canola cultivation by Geographic Information System (GIS) and Analytical Hierarchy Process (AHP). J. Crop Prod. 5: 1. 123-139. (In Persian)
14. Kazemi Poshtmasari, H., Tahmasebi, Z., Kamkar, B., Shataei, Sh., and Sadeghi, S. 2012. Evaluation of geostatistical methods for estimating and zoning of macronutrients in agricultural lands of Golestan province. Water Soil Sci. 22: 1. 201-220. (In Persian)
15. Keshavarzi, A. 2010. Land suitability evaluation using fuzzy continuous classification (a case study: Ziaran region). Mod. Appl. Sci. 4: 10. 72-81.
16. Khajehpour, M.R. 2013. Cereal crops. Jihad Daneshgahi of Isfahan Industrial university Press, Isfahan, Iran. 763 p. (In Persian)
17. Kihara, J., Huising, J., Nziguheba, G., Waswa, B.S., Njoroge, S., Kabambe, V., Iwuafor, E., Kibunja, C., Esilaba, O.A., and Coulibaly, A. 2016. Maize response to macronutrients and potential for profitability in sub-Saharan Africa. Nutr. Cycl. Agroecosyst. 105: 3. 171-181.
18. Mohammed, S., and Ahmed, M.M. 2016. Soil suitability assessment for Pearl Millet cropping in Musawa area, Katsina State, Nigeria. J. Plant Agric. Res. 2: 1. 37-43.
19. Mokarram, M., and Hojati, M. 2017. Using ordered weight averaging (OWA) aggregation for multi-criteria soil fertility evaluation by GIS (case study: southeast Iran). Comput. Electron. Agric. 132: 1-13.
20. Mokarram, M., and Bardideh, M. 2012. Soil fertility evaluation for wheat cultivation by fuzzy theory approache and compared with boolean method and soil test method in GIS area. Agron. J. (Pajouhesh and Sazandegi). 96: 111-123. (In Persian)
21. Mustafa, A.A., Singh, M., Sahoo, R.N., Ahmed, N., Khanna, M., Sarangi, A., and Mishra, A.K. 2011. Land suitability analysis for different crops: a multi criteria decision making approach using remote sensing and GIS. Researcher. 3: 12. 61-84.
22. Nasrollahi, N., Kazemi, H., and Kamkar, B. 2017. Feasibility of ley-farming system performance in a semi-arid region using spatial analysis. Ecol. Indic. 72: 239-248.
23. Njoroge, R., Otinga, A.N., Okalebo, J.R., Pepela, M., and Merckx, R. 2017. Occurrence of poorly responsive soils in western Kenya and associated nutrient imbalances in maize (Zea mays L.). Field Crops Res. 210: 162-174.
24. Nosratpour, S., Ardalan, M., Farajnia, A., and Esmali, A. 2010. Investigation of spatial distribution of soil fertility factors in Maraghe farms by means of geographic information systems. Watershed Manag. Res. J. (Pajouhesh & Sazandegi). 87: 2-7. (In Persian)
25. Rodríguez, E., Peche, R., Garbisu, C., Gorostiza, I., Epelde, L., Artetxe, U., Irizar, A., Soto, M., Becerril, J.M., and Etxebarria, J. 2016. Dynamic quality index for agricultural soils based on fuzzy logic. Ecol. Indic. 60: 678-692.
26. Romano, G., Dal Sasso, P., Trisorio Liuzzia, G., and Gentile, F. 2015. Multi-criteria decision analysis for land suitability mapping in a rural area of southern Italy. Land Use Policy. 48: 131-143.
27. Roshani, G., and Gharanjiki, A. 2015. Digital mapping of soil fertility for agricultural service centers of Golestan province using Kriging method. J. Agri. Engine. 37: 2. 87-99. (In Persian)
28. Roy, R.N., Finck, A., Blair, G.J., and Tandon, H.L.S. 2006. Plant nutrition for food security. A guide for integrated nutrient management. FAO fertilizer and plant nutrition bulletin. 16: 368 p.
29. Saaty, T.L. 1999. Fundamentals of the Analytic Network Process. Proceedings of ISAHP, Kobe, Japan, August. 12-14.
30. Sadeghi, S., Kazemi, H., Tahmasebi Sarvestani, Z., Kamkar, B., and Shataei, Sh. 2014. Evaluation of different interpolation methods for determination of spatial variability of micronutrients in agricultural lands of Golestan province some. J. Soil Manag. Sustain. Prod. 4: 3. 323-334. (In Persian)
31. Sarmadian, F., and Keshavarzi, A. 2014. The use of a hybrid fuzzy-AHP system on the evaluation and mapping of soil fertility. J. Water Soil Resur. Conser. 3: 2. 45-56. (In Persian)
32. Sehhat, S., and Parizadi, E. 2010. Applying analytical network process in SWOT (case study in Iran insurance company). J. Ind Manang. 1: 2. 105-120. (In Persian)
33. Seyedmohammadi, J., Esmaeelnejad, L., and Ramezanpour, H. 2016. Increasing efficiency of soil fertility map for rice cultivation using fuzzy logic, AHP and GIS. J. Water Soil. 30: 4. 1114-1129. (In Persian)
34. Shad, R., Ebadi, H., Mesgari, M., and Vafaeinezhad, A. 2009. Design and implementation of an applied GIS for industrial estates site selection using fuzzy, weight of evidence and genetic methods. J. College Engin. 43: 4. 417-429. (In Persian)
35. Shahbazi, K., and Besharati, H. 2013. Overview of agricultural soil fertility status of Iran. Land Manag. 1: 1. 1-15. (In Persian)
36. Sharififar, A., Ghorbani, H., and Sarmadian, F. 2016. Soil suitability evaluation for crop selection using fuzzy sets methodology. Acta Agric. Slov. 107: 1. 159-174.
37. Sikora, F.J., and Moore, K.P. 2014. Soil test methods from the southeastern United States. Southern cooperative series bulletin. 419: 219 p. (Available on-line at http://www.clemson.edu/sera6/.)
38. Tang, H.J., and Van Ranst, E. 1992. Testing of fuzzy set theory in land suitability assessment for rainfed grain maize production. Pedologie. 42: 129-147.
39. Tena, W. and Beyene. 2011. Identification of growth limiting nutrient(s) in Alfisols: soil physio- chemial properties, nutrient concentrations and biomass yield maize. Am. J. Plant Nutr. Fert. Technol. 1: 1. 23-35.
40. Tuan, N.T., Jian-Jun, Q., Verdoodt, A., Hu, L., and Van Ranst, E. 2011. Temperature and precipitation suitability evaluation for the winter wheat and summer maize cropping system in the Huang-Hai plain of China. Agric. Sci. in China. 10: 2. 275-288.
41. Zhang, B., Zhang, Y., Chen, D., White, R.E., and Li, Y. 2004. A quantitative evaluation system of soil productivity for intensive agriculture in China. Geoderma. 123: 319-331.
42. Zhang, J., Su, Y., Wu, J., and Liang, H. 2015. GIS based land suitability assessment for tobacco production and fuzzy set in Shandong province of China. Comput. Electron. Agric. 114: 202-211.